Data Input & Preprocessing | PyKMD Tutorial Series #3
Welcome to the third tutorial in our PyKMD series! In this video, we dive into the Data Input & Preprocessing tab, showing you how to prepare your time-series data for modeling.
You’ll learn how to:
Upload new data or select from pre-existing datasets
Downsize your data to focus on specific time ranges or variables
Standardize and preprocess columns to improve model accuracy
Add custom calculations, like sine transformations, to your data
Split your data into training and testing sets to prevent data leakage
We’ll walk you through each feature step-by-step, using a sample dataset from NASA's Jet Propulsion Laboratory. By the end of this tutorial, you’ll have all the tools you need to preprocess your data effectively.
Stay tuned for more in-depth videos on PyKMD's other features, including the Lifting tab, Dynamic Mode Decomposition (DMD), and more.
If you have any questions, feel free to reach out to our team at [email protected].
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